Extract & search ProductHunt data with Bright Data MCP and Google Gemini AI

 Notice Community nodes can only be installed on self-hosted instances of n8n.

Who this is for?

This workflow template enables intelligent data extraction from ProductHunt using Bright Data’s Model Context Protocol (MCP) and processes search results with Google Gemini.

This workflow is designed for individuals and teams who need automated, intelligent discovery and analysis of new tech products. It's especially valuable for:

- Startup Analysts & VC Researchers - Growth Hackers & Marketers - Recruiters & Tech Scouts - Product Managers & Innovation Teams - AI & Automation Enthusiasts

What problem is this workflow solving?

Traditional product discovery on ProductHunt is constrained by limited descriptions and requires repeated manual validation through web searches. Manually extracting and enriching this data is slow, repetitive, and error-prone.

This workflow solves the problem by: